Xin Yu

Computer Vision and Pattern Recognition · with Bai · 2022

A researcher in the Science corpus: 1 paper; trusts 116 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it
• Artificial Intelligence — 33 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Generative Models — 16 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Xin Yu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Diederik P. Kingma
6. Yoshua Bengio
7. Yann LeCun
8. Shaoqing Ren
9. Ilya Sutskever
10. Karen Simonyan

Papers from Xin Yu's perspective

Ordered by how strongly the researchers Xin Yu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Is synthetic data from generative models ready for image recognition? (2022) — 424 citations